These elements account for the double role of each member of the society as both receivers and producers of content.
While the TCS can be seen as a direct expression of the state of the user, it strongly depends on the user’s style of interaction. Moreover, only processing the content shared by users to estimate the well-being, there would be a substantial delay in comparison to considering also the information contained in the observed content (TCE).
In addition, the TCE gives a measure of the selections that the recommender system proposes to the users, allowing to evaluate its direct contribution.
However, the user is exposed to a multitude of diverse inputs hindering
the interpretation of the overall effect only from the TCE.
Note that in order to promote exposition to a diverse set of opinions, these elements (particularly TCE) may contain a measure of diversity of the contents (e.g. entropy) over the dimension specific to the term under consideration [1]}, [2]}.
Indeed, current affective state estimators and toxic content detectors can only provide noisy estimation of the current user state and the content quality.
However, the availability of complementary data with higher reliability is limited.
